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Rough set approach to video deinterlacing systems. (English) Zbl 1145.68567
Bello, Rafael (ed.) et al., Granular computing: At the junction of rough sets and fuzzy sets. Several papers based on the presentations at the 1st international symposium of fuzzy and rough sets (ISFUROS 2006), Santa Clara, Cuba, December 5–8, 2006. Berlin: Springer (ISBN 978-3-540-76972-9/hbk). Studies in Fuzziness and Soft Computing 224, 131-147 (2008).
Summary: A deinterlacing algorithm that is based on rough set theory is researched and applied in this chapter. The fundamental concepts of rough sets, with upper and lower approximations, offer a powerful means of representing uncertain boundary regions in image processing. However, there are a few studies that discuss the effectiveness of the rough set concept in the field of video deinterlacing. Thus, this chapter proposes a deinterlacing algorithm that will choose the most suitable method for being applied to a sequence, with almost perfect reliability. This proposed deinterlacing approach employs a size reduction of the database system, keeping only the essential information for the process. Decision making and interpolation results are presented. The results of computer simulations show that the proposed method outperforms a number of methods presented in the literature.
For the entire collection see [Zbl 1132.68003].
MSC:
68U10 Computing methodologies for image processing
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